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GLM 4.5 Air vs GLM 5

GLM 5 leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 27.9 to 11.1, and GLM 4.5 Air costs 2.9x less per output token ($1.10 vs $3.20 per million). Updated October 21, 2026; 42 benchmarks have a result for both.

Replace GLM 4.5 Air Replace GLM 5
GLM 4.5 AirZ.ai
Coding
No data
Overall
11.1
Output $/M
$1.10
0
GLM 5Z.ai
Coding
41.7
Overall
27.9
Output $/M
$3.20
42
vs boards won of 42 shared

GLM 4.5 Air or GLM 5: which to pick

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding.

Pick GLM 4.5 Air for output tokens 2.9x cheaper ($1.10 vs $3.20 per million).

Model AGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved task
Shared results
42
GLM 4.5 Air only
5
GLM 5 only
33
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GLM 4.5 Air not benchmarked, GLM 5 41.7 from 3 benchmarks.
Widest category
Agentic work, 51.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.5 Air 46.5% against GLM 5 98.2%, 51.8 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against GLM 5 $3.20 per million output tokens, 2.9x apart.
Context window
GLM 4.5 Air takes 131K tokens, GLM 5 205K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGLM 4.5 AirBarsGLM 5Ties
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
Web design07
General019
All shared boards042
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
SWE-bench VerifiedNot measured72.8%Only GLM 5 measured
SWE-bench MultilingualNot measured69.7%Only GLM 5 measured
LMArena WebDevNot measured1435Only GLM 5 measured
LiveCodeBench (Vals AI)Not measured81.9%Only GLM 5 measured
SWE-bench Verified (Vals AI)Not measured71.4%Only GLM 5 measured
Vibe Code Bench (Vals AI)Not measured23.4%Only GLM 5 measured
LiveCodeBench (Artificial Analysis run)68.4%Not measuredOnly GLM 4.5 Air measured
Terminal-Bench Hard (Artificial Analysis run)20.5%43.2%GLM 5
Terminal-BenchNot measured52.4%Only GLM 5 measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
WeirdMLNot measured48.2%Only GLM 5 measured
ALE-BenchNot measured765.6Only GLM 5 measured
LMArena Text: coding13971461GLM 5
LMArena Text: software and IT14011460GLM 5
LMArena WebDev: ReactNot measured1424Only GLM 5 measured
LMArena WebDev: HTMLNot measured1450Only GLM 5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
AA Intelligence Index11.127.9GLM 5
Epoch Capabilities IndexNot measured145.8Only GLM 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
Design Arena: agents building full-stack appsNot measured1123Only GLM 5 measured
Design Arena: agents building mobile appsNot measured1136Only GLM 5 measured
Design Arena: agents building Android appsNot measured1146Only GLM 5 measured
Design Arena: agents building Godot gamesNot measured1144Only GLM 5 measured
Design Arena: HTML slidesNot measured1148Only GLM 5 measured
τ²-Bench Telecom46.5%98.2%GLM 5
Vending-Bench 2Not measured$4,432Only GLM 5 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
GPQA DiamondNot measured83.3%Only GLM 5 measured
GPQA Diamond (Artificial Analysis run)73.3%82.0%GLM 5
Humanity's Last Exam (Artificial Analysis run)7.0%29.3%GLM 5
GPQA Diamond (Epoch AI run)Not measured87.8%Only GLM 5 measured
ARC-AGINot measured44.7%Only GLM 5 measured
ARC-AGI-2Not measured4.9%Only GLM 5 measured
SimpleBenchNot measured53.2%Only GLM 5 measured
LMArena Text: hard prompts13791452GLM 5
LMArena Text: expert13701454GLM 5
LMArena Text: hard prompts in English13881460GLM 5
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
AIMENot measured91.7%Only GLM 5 measured
AA Math Index80.7Not measuredOnly GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)80.7%Not measuredOnly GLM 4.5 Air measured
OTIS Mock AIMENot measured80.0%Only GLM 5 measured
LMArena Text: math13961440GLM 5
LMArena Text: mathematical work13961451GLM 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
MMLU ProNot measured86.0%Only GLM 5 measured
LegalBench (Vals AI)Not measured84.1%Only GLM 5 measured
CaseLaw (Vals AI)Not measured52.5%Only GLM 5 measured
CorpFin (Vals AI)Not measured62.9%Only GLM 5 measured
TaxEval (Vals AI)Not measured70.0%Only GLM 5 measured
MedQA (Vals AI)Not measured94.3%Only GLM 5 measured
MMLU Pro (Artificial Analysis run)81.5%Not measuredOnly GLM 4.5 Air measured
LMArena Text: science14071460GLM 5
LMArena Text: medicine and healthcare14021455GLM 5
LMArena Text: legal and government13821453GLM 5
LMArena Text: business and finance13711430GLM 5
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
Design Arena: websites11461247GLM 5
Design Arena: UI components11231230GLM 5
Design Arena: game dev10941234GLM 5
Design Arena: data viz11861228GLM 5
Design Arena: 3D11231229GLM 5
Design Arena: all code categories11371246GLM 5
Design Arena: SVG10711168GLM 5
Design Arena: ASCII artNot measured1147Only GLM 5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
IFBench37.6%72.3%GLM 5
Long context reasoning (AA-LCR)46.7%75.7%GLM 5
CL-benchNot measured18.7%Only GLM 5 measured
LMArena Text13841446GLM 5
LMArena Text: instruction following13541428GLM 5
LMArena Text: creative writing13431438GLM 5
LMArena Text: English13971458GLM 5
LMArena Text: non-English13661430GLM 5
LMArena Text: Chinese14261511GLM 5
LMArena Text: German13771447GLM 5
LMArena Text: Japanese13481416GLM 5
LMArena Text: Korean13081423GLM 5
LMArena Text: French14001456GLM 5
LMArena Text: Spanish13851454GLM 5
LMArena Text: Russian13731436GLM 5
LMArena Text: Polish13681434GLM 5
LMArena Text: multi-turn13711456GLM 5
LMArena Text: longer queries13661446GLM 5
LMArena Text: writing and language13541437GLM 5
LMArena Text: entertainment and media13391426GLM 5
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 Air and GLM 5
BenchmarkGLM 4.5 AirGLM 5Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GLM 4.5 Air$0.0008Fits in one request
GLM 5$0.0026Fits in one request

GLM 4.5 Air costs less

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
GLM 5$0.060Fits in one request

GLM 4.5 Air costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
GLM 5$0.232Exceeds the context window

GLM 4.5 Air costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GLM 4.5 Air and GLM 5
SpecificationZ.ai GLM 4.5 AirZ.ai GLM 5
MakerZ.aiZ.ai
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025February 11, 2026
Context window131K205K
Input $/Mtok$0.20$1.00
Output $/Mtok$1.10$3.20
Coding indexNot benchmarked41.7
Independent measurements behind it03
Cost per solved taskNot computable$0.63
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than GLM 5 for coding?

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding. Pick GLM 4.5 Air for output tokens 2.9x cheaper ($1.10 vs $3.20 per million).

Which is cheaper, GLM 4.5 Air or GLM 5?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; GLM 5 costs $1.00 and $3.20. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 4.5 Air or GLM 5?

GLM 5, with 205K tokens against 131K.

How many benchmarks is the GLM 4.5 Air vs GLM 5 comparison based on?

42 benchmarks have a result for both models as of October 21, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and GLM 5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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